219 citations · 546 across the 100 of their papers we have counts for
12 papers · 1 filter
Sustainable Air-Ground Integrated Coverage Networks: ISCC Architecture, Technologies, and Testbed
J. Liu, X. Zhang, M. Sheng +4
The rapid emergence of sixth-generation (6G) networks and the low-altitude economy has accelerated the evolution of wireless infrastructures toward air-ground integrated coverage n…
Semantic Forwarding and Codebook-Enhanced Model Division Multiple Access for Satellite-Terrestrial Networks
Jinghong Huang, Mengying Sun, Xiaodong Xu +7
Satellite-terrestrial communications are severely constrained by high path loss, limited spectrum resources, and time-varying channel conditions, rendering conventional bit-level t…
Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI
Yuxuan Wu, Linghan Ma, Ruichen Zhang +9
Edge General Intelligence (EGI) represents a paradigm shift in mobile edge computing, where intelligent agents operate autonomously in dynamic, resource-constrained environments. H…
Way to Build Native AI-driven 6G Air Interface: Principles, Roadmap, and Outlook
Ping Zhang, Kai Niu, Yiming Liu +8
Artificial intelligence (AI) is expected to serve as a foundational capability across the entire lifecycle of 6G networks, spanning design, deployment, and operation. This article…
Enabling Training-Free Semantic Communication Systems with Generative Diffusion Models
Shunpu Tang, Yuanyuan Jia, Qianqian Yang +3
Semantic communication (SemCom) has recently emerged as a promising paradigm for next-generation wireless systems. Empowered by advanced artificial intelligence (AI) technologies,…
Towards Secure Semantic Communications in the Presence of Intelligent Eavesdroppers
Shunpu Tang, Yuhao Chen, Qianqian Yang +3
Semantic communication has emerged as a promising paradigm for enhancing communication efficiency in sixth-generation (6G) networks. However, the broadcast nature of wireless chann…
Wireless Hallucination in Generative AI-enabled Communications: Concepts, Issues, and Solutions
Xudong Wang, Jiacheng Wang, Lei Feng +6
Generative AI (GenAI) is driving the intelligence of wireless communications. Due to data limitations, random generation, and dynamic environments, GenAI may generate channel infor…
Deep Reinforcement Learning for Energy Efficiency Maximization in RSMA-IRS-Assisted ISAC System
Zhangfeng Ma, Ruichen Zhang, Bo Ai +3
This paper proposes a three-dimensional (3D) geometry-based channel model to accurately represent intelligent reflecting surfaces (IRS)-enhanced integrated sensing and communicatio…
STAR-RIS Enabled ISAC Systems: Joint Rate Splitting and Beamforming Optimization
Yuan Liu, Ruichen Zhang, Ruihong Jiang +5
This paper delves into an integrated sensing and communication (ISAC) system bolstered by a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)…
Secrecy Energy Efficiency Maximization in IRS-Assisted VLC MISO Networks with RSMA: A DS-PPO approach
Yangbo Guo, Jianhui Fan, Ruichen Zhang +4
This paper investigates intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) visible light communication (VLC) networks utilizing the rate-splitting mu…
Generative Semantic Communication for Joint Image Transmission and Segmentation
Weiwen Yuan, Jinke Ren, Chongjie Wang +4
Semantic communication has emerged as a promising technology for enhancing communication efficiency. However, most existing research emphasizes single-task reconstruction, neglecti…
Rate-Splitting for Cell-Free Massive MIMO: Performance Analysis and Generative AI Approach
Jiakang Zheng, Jiayi Zhang, Hongyang Du +4
Cell-free (CF) massive multiple-input multipleoutput (MIMO) provides a ubiquitous coverage to user equipments (UEs) but it is also susceptible to interference. Ratesplitting (RS) e…